Summary
Deniz Engin is a Computer Vision Engineer in Paris with eight years of experience translating multimodal research into production-grade systems, currently advancing AI for real-estate photography at Nodalview after ProperShot’s acquisition. He holds a PhD from Inria Rennes where he developed parameter-efficient, zero/few-shot and long-form video question answering methods that adapt large vision-language models while tuning under 1% of parameters. Deniz has a strong track record across industry and academia—from building document understanding and signature verification systems that automated thousands of manual hours in banking to pioneering GAN-based single-image dehazing and multimodal scene understanding for image editing. He routinely owns projects end-to-end, covering data curation, model training, evaluation and deployment, and has contributed to patentable multimodal video work during collaborations at InterDigital. His focus on video QA, scene understanding, and generative editing tools bridges state-of-the-art research with practical product impact. Colleagues describe him as someone who finds compact, efficient modeling strategies that make large models usable in constrained deployment settings.
8 years of coding experience
5 years of employment as a software developer
Exchange Student, Electronics Engineering, Exchange Student, Electronics Engineering at KU Leuven
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université de Rennes I
Master's Degree, Electronics Engineering, Master's Degree, Electronics Engineering at Istanbul Technical University
English, Turkish, French